Parametric Modeling of EEG Signals

In this paper, a new signal model is suggested for parametric representation of the electroencephalogram (EEG) signals. The proposed model which is an amplitude and frequency modulated sinusoidal signal model, has been found to capture the non-stationary characteristics of the EEG signal with good accuracy. When the EEG signal is considered for longer duration of time, the model parameters have turned to be time-variant.